Role modeling for adaptive multiagent systems engineering

Kemas M. Lhaksmana, Yohei Murakami, Toru Ishida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The future of computing systems is leading to a growing complexity of heterogeneous computing systems integration situated in highly dynamic and uncertain environment. Self-organization has been proposed to be one of the solutions due to its autonomous capability to govern itself and to adapt upon changes. Developing self-organizing systems requires a suitable modeling method because of its unique characteristics, such as self-adaptive, decentralized, and emergent. Existing multiagent systems engineering methodologies lack modeling methods to design behavior adaptation for self-organizing systems. This paper proposes a role modeling method that allows designers to model how agents perform behavior adaptation at runtime by making transitions from one set of roles to another in decentralized manner. The behavior adaptation of each individual agent may eventually emerge as the adaptation of the organization. The proposed modeling method also helps designers to analyze issues that may occur because of playing multiple roles, such as role conflict, role overload, role transition oscillation, and other common issues in concurrency.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
PublisherIEEE Computer Society
Pages287-292
Number of pages6
ISBN (Print)9781479929023
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 - Atlanta, GA, United States
Duration: 2013 Nov 172013 Nov 20

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
Volume2

Conference

Conference2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
CountryUnited States
CityAtlanta, GA
Period13/11/1713/11/20

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Keywords

  • Multiagent systems engineering
  • Role modeling
  • Self-adaptation
  • Self-organization

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Lhaksmana, K. M., Murakami, Y., & Ishida, T. (2013). Role modeling for adaptive multiagent systems engineering. In Proceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 (pp. 287-292). [6690802] (Proceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/WI-IAT.2013.122